RU2556081C1 - Communication system and method of its control - Google Patents

Abstract

FIELD: radio engineering, communication.

SUBSTANCE: communication system contains: level of radiosignal reception/transmission including combination of radiosignal reception/transmission assemblies; local calculating level comprising local calculating assembly connected with radiosignal reception/transmission assembly at one or several combinations of adjacent radiosignal reception/transmission assemblies and executing all communication processing or first part of the communication processing; central calculating level comprising central calculating assembly connected with local calculating assembly and performing the second part of communication processing, at that all communication processing contains the first part of the communication processing and second part of the communication processing. The local calculating level is responsible for complete or part of the communication processing.

EFFECT: economy of network bandpass and improved use of the system resources.

21 cl, 7 dwg

Description

FIELD OF THE INVENTION

The present invention relates to the field of radio communications and, in particular, to a communication system and method for controlling it.

BACKGROUND

The cellular communication system includes three parts, namely user equipment (User Equipment, UE), a radio access network (Radio Access Network, RAN) and a core network (Core Network, CN). The UE is a communication tool for network users, the RAN is responsible for managing the air interface resources and the mobility management part, and the CN is responsible for user authentication, charging, mobility management, channel support and tuning, and data routing.

RAN before LTE (Long Term Evolution, Long Term Evolution) includes a base station and a base station controller. For GSM (Global System for Mobile Communications, Global System for Mobile Communications) / GPRS (General Packet Radio Service, General Packet Radio Service) RAN consists of BS (Base Station, base station) and BSC (Base Station Controller, base station controller) . For UMTS (Universal Mobile Communications System, universal mobile communications system), RAN consists of NodeB and RNC (Radio Network Controller, Radio Network Controller). The base station communicates with the UE via a radio interface, and the base station controller performs unified control and scheduling at several base stations. LTE has a flat network architecture. A RAN has only one network element, i.e. an eNodeB, which includes the functions of the previous NodeB. The base station controller functions are also allocated to each eNodeB.

Starting with 3G (3rd Generation, 3rd generation), distributed base stations have found widespread use, while the distributed base station divides the traditional base station into a baseband unit (Baseband Unit, BBU) and a remote radio unit (Remote Radio Unit , RRU). The RRU performs operations such as receiving and transmitting a radio signal, decreasing the peak-to-average power ratio, digital predistortion correction, upconverting, DAC (Digital to Analog, Digital to Analog) / ADC (Analog to Digital Conversion, Analog to Digital) and power amplification, and exchanges information in the main frequency band with the BBU through the protocol of the General Use Radio Interface (General Use Radio Interface, CPRI). Currently, the physical connections between the BBU and the RRU mainly involve fiber. BBU + RRU mode makes node deployment more flexible. The RRU is smaller and easier to deploy in places such as an electric pole, and takes up less space. As a rule, in a large building there are floors between levels, there are walls in rooms and there are dividers of space between internal users. In accordance with the BBU + RRU multi-channel solution, RRU is deployed for each separated space using these capabilities. For a large stadium with a total area of more than 100,000 square meters, the stand can be divided into several hundred, and each cell has several channels, and each channel corresponds to an RRU equipped with a panel antenna. The BBU is larger and can be placed independently in the control room.

A mobile network typically uses a cellular structure, that is, different base stations are deployed in different places and each base station forms a cell and is responsible for communicating with mobile users in that cell. In order to ensure that mobile users can receive uninterrupted communication, neighboring cells have certain overlapping zones so that mobile users can handover from one cell to another. In this traditional single-tier cellular system, in order to increase system capacity, the capacity of each cell must be increased, which is usually implemented using complex and expensive technologies. However, within a larger area, not all locations require very high throughput. In most cases, only part of the hot zones needs high throughput; for other zones with lower traffic requirements, even if high bandwidth is provided, bandwidth is not used by users, which is a waste of system resources. That is, increasing the throughput of the entire cell is a low-efficient way. Therefore, a better way is to use a multi-level cellular structure (Heterogeneous Network in LTE 3GPP, HetNet for short). That is, a macrocell (Macrocell) is used to provide continuous coverage of a zone, and then a Picocell (Pico or Femto) is used in hot zones to provide overlapping coverage. The pico cell provides high throughput in accordance with higher traffic requirements in hot zones, so that system throughput can be distributed according to actual demand. From a system point of view, such a method is a more accurate and targeted way to provide bandwidth and thus avoids wasting system resources. HetNet is currently seen as an important technology to increase system throughput in LTE.

Most users are distributed in industrial areas during business hours, while most users are distributed in residential areas during other hours. Because of this “ebb and flow” effect of users, the computing resources of a base station cannot be fully utilized. The goal of providing Cloud-RAN (C-RAN, Cloud RAN) architecture is to use the computing resources of a base station in a more efficient way.

The C-RAN centralizes the BBUs of the distributed base stations in the zone to form the BBU resource pool. The baseband signals RRU in this zone are processed in the same BBU pool (i.e., the BBU resource pool). Thus, user mobility in this area does not affect the use of computing resources.

Centralized BBUs can be connected to the RRU in a larger area via fiber optics. If the bandwidth and time delays of the relationships between the BBUs allow, the BBUs in the zone can also be interconnected to form a BBU resource.

Since the BBU resource pool processes signals from several cells in a centralized manner, the C-RAN can also facilitate joint transmission between multiple cells.

However, in the traditional cloud RAN architecture, one zone and cells correspond to only one BBU resource pool and all RRUs need to be connected to the BBU resource pool via fiber. Since the physical distance is large, all baseband signals must be sent to the BBU resource pool for processing, the requirements for fiber transmission capabilities are very high.

In a HetNet scenario, if all Picocells need to be connected to the remote BBU pool via fiber, a large number of Picocells can double the cost of laying the fiber and the amount of data that needs to be processed by the BBU pool.

Compared to the traditional C-RAN architecture, the present invention has the following advantage: The bandwidth for the connection between the base station and the cloud computing node is significantly saved. In future communication networks, the number of Pico cells is several times larger than the number of macro cells; the frequency range is becoming wider; and the number of antennas has risen sharply from four to several dozen or even more than a hundred. If the traditional cloud RAN architecture is still used, for fiber optic transmission, it is a big problem to connect all the main bandwidth data to a cloud computing center several kilometers away.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a communication system and method for controlling it to save data bandwidth between base stations and improve resource utilization.

On the one hand, a communication system is provided, including: a radio signal transceiver level including one or more combinations of radio signal transceiver nodes, wherein a radio signal transceiver node in each combination of radio signal transceiver nodes includes at least one of the following: , a remote Pico cell radio block and a Pico cell base band and radio frequency block; a local computing layer including one or more local computing nodes, wherein each local computing node is connected to radio signal transceiving nodes in one or more combinations of neighboring radio signal transceiver nodes and is configured to perform all communication processing or a first part of a cell communication processing corresponding to a combination radio transceiver nodes connected to a local computing node; and a centralized computing layer including one or more centralized computing nodes, each centralized computing node being connected to one or more local computing nodes at a local computing level and configured to perform a second part of cell communication processing corresponding to a combination of radio signal transceiver nodes connected with one or more local computing nodes, if the local computing node performs the first hour communications processing, wherein all communication processing includes a first part of communication processing and a second part of communication processing.

On the other hand, there is provided a method for controlling a communication system, the communication system including a radio signal transceiver level, a local computing level, and a centralized computing level. The radio signal transceiver level includes one or more combinations of radio signal transceiver nodes, the radio signal transceiver node in each combination of radio signal transceiver nodes includes at least one type of the following: macro cell radio block, Pico cell remote radio block, Pico cell base frequency and radio frequency block. The local computing layer includes one or more local computing nodes, and each local computing node is connected to the radio transceiver nodes in one or more combinations of neighboring radio transceiver nodes. The centralized computing layer includes one or more centralized computing nodes, wherein each centralized computing node is connected to one or more local computing nodes at a local computing level. The method comprises the steps of: performing, by a local computing node, all communication processing or a first part of a cell communication processing corresponding to a radio signal transceiving node in a combination of radio signal transceiver nodes connected to a local computing node; and performing, through a centralized computing node, a second part of the cell communication processing corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to one or more local computing nodes, if the local computing node performs the first part of the communication processing, the entire communication processing includes the first part communication processing; and a second part of communication processing.

In embodiments of the present invention, a local computing layer is added between the centralized computing layer and the radio transceiver level and is responsible for all or part of the communication processing of neighboring cells within a certain range. Thus, all processing need not be performed by a remote computing center, which saves network bandwidth and improves the use of system resources.

BRIEF DESCRIPTION OF THE DRAWINGS

To make the technical solutions of the embodiments of the present invention more understandable, the accompanying drawings to illustrate embodiments of the present invention are briefly described below. It is obvious that the accompanying drawings are only exemplary and those skilled in the art can obtain other drawings from such attached drawings without creative efforts.

Figure 1 is a schematic diagram of the network architecture of a communication system in accordance with an embodiment of the present invention;

Figure 2 is a schematic diagram of the network architecture of a communication system in accordance with another embodiment of the present invention;

3A-3B are a schematic diagram of a data processing procedure in accordance with an embodiment of the present invention;

4 is a schematic representation of a typical example of a HetNet network architecture in accordance with an embodiment of the present invention;

5 is a schematic flowchart of a method for controlling a communication system in accordance with an embodiment of the present invention; and

6 is a schematic flowchart of a method for controlling a communication system in accordance with another embodiment of the present invention.

DETAILED DESCRIPTION OF EMBODIMENTS

The technical solutions of the embodiments of the present invention are described below clearly and fully with reference to the accompanying drawings. Obviously, the embodiments are merely exemplary embodiments of the present invention, and the present invention is not limited to such embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are also within the scope of the present invention.

In embodiments of the present invention, the computing resources of the BBUs are separated by a layer such that the centralization of the localized BBUs in the small zone is combined with the centralization of the BBUs of the globalized zone in the large zone. A radio signal transceiver node, for example, a macrocell radio block, a Picocell RRU, or a BRU (Primary frequency and radio frequency unit, a baseband and radio frequency unit) Picocells, connected not only to a local computing unit, but also to a computing unit of a large upper-level zone through a local computing unit . Picocell BRUs may have an RRU radio processing function and certain communication processing functions (e.g., compression of baseband data and processing of a communication protocol in the baseband and upper layer). Therefore, the communication system provided in an embodiment of the present invention supports adaptive scheduling on computing resources and joint processing between a local computing node and a centralized computing node in accordance with user distribution, data volume and interference.

It should be noted that in embodiments of the present invention, when two network elements are directly “connected”, this indicates that two network elements are connected through a single connecting medium (eg, a radio interface, optical fiber, digital subscriber line, microwave line, or power line electrical cable) or directly connected without any connecting medium. When two network elements are “connected”, this indicates that two network elements can be connected directly or connected indirectly through one or more intermediate network elements. All of these compounds are within the scope of the present invention.

Figure 1 is a schematic diagram of the network architecture of a communication system in accordance with an embodiment of the present invention. 1, in order to simply illustrate the system architecture provided in an embodiment of the present invention, only one network element of each type of network element is described, but is not limited in this embodiment of the present invention. The number of each type of network element can be increased, decreased, or removed depending on the needs and all these modifications should fall within the scope of the present invention.

As shown in FIG. 1, a radio signal transceiver level 110 is located at a lower level of the RAN architecture and transmits a radio signal using user equipment via a radio interface. The radio transceiver level 110 includes one or more combinations of 115 radio transceiver nodes. A radio signal transceiver assembly in a combination of 115 radio signal transceiver nodes includes at least one of the following: a macro cell radio unit 116, a remote radio unit (RRU) 117 Pico cells and a baseband and radio frequency unit (BRU) 118 Pico cells. The radio transceiver nodes 116-118 perform at least the radio signal processing functions of the base station. For example, for an LTE network, the radio signal processing functions include cropping / decoding baseband data (e.g., cropping / decoding CPRI), decreasing the peak-to-average ratio of the power level, digital predistortion correction, up / down conversion, ADC / DAC ( analog-to-digital / digital-to-analogue conversion), power amplification and duplexer.

1 illustrates only a combination 115 of radio transceiver nodes, but the radio transceiver level provided in this embodiment of the present invention may include several combinations of 115 radio transceiver nodes. The combination of 115 radio signal transceiver nodes shown in FIG. 1 includes three radio signal transceiver nodes 116-118, but each combination of 115 radio signal transceiver nodes provided in an embodiment of the present invention may include one, two, or all three nodes 116 -118 radio transceiver, and the number of any one type of nodes 116-118 of the radio transceiver may be more than one. For a brief description, the term "radio signal transceiver nodes 116-118" is used to indicate radio signal transceiver nodes included in any one of a combination of 115 radio signal transceiver nodes, and may include one or more types of radio signal transceiver nodes 116-118, and the number of each type node transceiver radio signal may be equal to one or more than one.

The local computing layer 120 is located above the radio transceiver level 110, and this level includes one or more local computing nodes 125. The local computing layer 120 is a computing layer directly connected to the radio transceiving nodes 116-118. Each local computing node 125 is connected to the radio signal transceiver nodes 116-118 in one combination of 115 neighboring radio signal transceiver nodes or several combinations of 115 neighboring radio signal transceiver nodes and is configured to perform all communication processing or the first part of the cell communication processing corresponding to the combination of radio signal transceiver nodes, connected to the local computing node 125. A cell corresponding to a combination of 115 radio transceiver nodes refers to a cell, we serve passed by the nodes 116-118 of the radio transceiver in a combination of 115 nodes of the radio transceiver. The distance between the local computing level 120 and the level 110 of the radio signal transceiver, as a rule, is within a short range, for example, within a macro cell. In the case of continuous coverage of Picocells without macrocell coverage, local computing unit 125 may be connected to several Picocell BRU / RRUs within a small area with continuous coverage.

Figure 1 shows only the case when one local computing node 125 is connected to the nodes of the radio transceiver 116-118 in one combination of 115 nodes of the radio transceiver. However, the local computing node 125 provided in this embodiment of the present invention can be connected to the radio transceiver nodes 116-118 in one or more combinations of 115 adjacent radio transceiver nodes. The number of radio signal transceiver nodes in a combination of radio signal transceiver nodes connected to a local computing node and the number of connected combinations of radio signal transceiver nodes can be determined in accordance with network configurations.

Centralized computing layer 140 is located at the upper level of the system architecture, and the level includes one or more centralized computing nodes 145. Centralized computing node 145 is connected to local computing node 125 within a larger area, for example, it is connected to local computing node 125 corresponding to several macrocells. The centralized computing layer 140, as a rule, is far from the local computing layer 120. The centralized computing node 145 is connected to one or more local computing nodes 125 of the local computing level 120 and is configured to perform the second part of the cell communication processing corresponding to a combination of 115 radio signal transceiver nodes connected to one or more local computing nodes 125 if the local computing node 125 performs the first part of the processing quipment connection, the entire communication processing includes a first portion and a second communication processing part of the communication processing.

In one embodiment, the first communication processing part and the second communication processing part can be performed at the same time. In another embodiment, the first part of the communication processing and the second part of the communication processing can be performed at different times, which is not limited in the embodiments of the present invention.

Figure 1 shows only one centralized computing node 145, but the centralized computing layer 140 provided in this embodiment of the present invention may include several centralized computing nodes 145. Centralized computing nodes 145 may be interconnected.

In this embodiment of the present invention, a local computing layer is added between the centralized computing layer and the radio transceiver level and is responsible for all or part of the communication processing of neighboring cells within a certain range. Thus, all processing need not be performed by a centralized computing node that is far away, which saves network bandwidth and improves the use of system resources.

To further save bandwidth, one or more intermediate computing layers can be added between the centralized computing layer and the local computing layer. 2 is a schematic diagram of a network architecture of a communication system in accordance with another embodiment of the present invention. In Fig. 2, the same parts as in Fig. 1 are represented by the same reference numerals.

As shown in FIG. 2, an intermediate computing layer 130 may be added between the local computing layer 120 and the centralized computing layer 140. Although only one intermediate computing layer 130 is shown in FIG. 2, several intermediate computing layers may be included in this embodiment the implementation of the present invention. The intermediate computing layer 130 consists of intermediate computing nodes 135, and each intermediate computing node 135 is configured to perform all communication processing or the third part of the communication processing of the cell corresponding to the radio signal transceiver nodes (for example, radio signal transceiver nodes 116-118 included in 115-2 shown in FIG. 2) in a combination of radio signal transceiver nodes connected to a local computing node (eg, 125-2 in FIG. 2) connected to an intermediate computing node om 135. With the exception of the first part of the communication processing (performed by the local computing node 125) and the second part of the communication processing (performed by the central computing node 145), all communication processing further includes a third part of the communication processing.

In one embodiment, the third part of the communication processing, the first part of the communication processing and the second part of the communication processing can be performed at the same time. In another embodiment, the third part of the communication processing, the first part of the communication processing and the second part of the communication processing can be performed at different times, which is not limited in the embodiments of the present invention.

As shown in FIG. 2, centralized computing nodes 145 may be connected to radio transceiver nodes 116-118 in a combination of 115 radio signal transceiver nodes in various ways. For example, the centralized computing node 145-1 is directly connected to the local computing node 125-1, and the local computing node 125-1 is directly connected to the radio transmitting and receiving nodes 116-118 in a combination of 115-1 radio transmitting and receiving nodes.

Either the centralized computing node 145-1 is connected to the local computing node 125-2 through one level or several levels of intermediate computing nodes 135, and the local computing node 125-2 is directly connected to the radio transceiver nodes 116-118 in a combination of 115-2 radio signal transceiving nodes .

Although the radio transceiver nodes 116-118 in the network architecture provided in this embodiment of the present invention are first connected to the local computing node 125 and then connected to the centralized computing node 145 through the local computing node 125, this embodiment may further be used a method similar to that in a traditional C-RAN, that is, centralized computing node 145 is directly connected to radio transceiver nodes 116-118 I drove. As shown in FIG. 2, the centralized computing unit 145-2 can be directly connected to the radio transceiver units 116-118 in a combination of 115-3 radio transceiver units. For example, if the Picocell RRU / BRU is located at the boundary between two macrocells, Picocell users typically need to perform joint processing with several macro base stations in terms of resource planning and interference management. In this case, the Picocell RRU / BRU can be directly connected to a centralized computing node.

In particular, for BRU 118, the microbase station side has some functions of processing the baseband signal, which is equivalent to the fact that the microbase station is connected to the microcomputer node located at the same location. BRU 118 can perform four parts of the cell communication processing corresponding to the BRU. In addition, as shown in FIG. 2, centralized computing nodes 145 may be interconnected. In this case, the centralized computing nodes 145 may transmit, using task scheduling, the fifth part of the communication processing to other centralized computing nodes for execution. All communication processing further includes a fourth part of the communication processing and / or a fifth part of the communication processing.

In one embodiment, the fifth part of the communication processing, the fourth part of the communication processing, the third part of the communication processing, the first part of the communication processing and the second part of the communication processing can be performed at the same time. In another embodiment, the fifth part of the communication processing, the fourth part of the communication processing, the third part of the communication processing, the first part of the communication processing and the second part of the communication processing can be performed at different times, which is not limited in the embodiments of the present invention.

The following describes the interface between each network element provided in this embodiment of the present invention. As shown in FIG. 2, the connections between the macrocell radio unit 116 and the local computing node 125-1 / 125-2, between the Picocell RRU 117 and the local computing node 125-1 / 125-2, between the macro cell radio unit 116 and the centralized computing node 145- 2 and between the RRU 117 Picocells and the centralized computing node 145-2 are implemented through the class C1 interface. The class 1 C1 interface is capable of transmitting baseband data and status control messages, for example, it provides synchronization and corresponding control functions control. Class 1 C1 interface can be implemented using current protocols, such as CPRI, between the BBU and the RRU of the distributed base station.

Connections between the Picocell BRU 118 and the local computing node 125-1 / 125-2, between the local computing node 125-1 and the centralized computing node 145-1, between the local computing node 125-2 and the intermediate computing node 135, between the intermediate computing nodes 135 at the upper and lower levels, between the intermediate computing node 135 and the centralized computing node 145-1, between the centralized computing nodes 145-1 and 145-2 and between the Picocell BRU 118 and the centralized computing node 145-2 cut the C2 class 2 interface. The C2 class 2 interface is capable of transmitting baseband data, data packets and status control messages, for example, for exchanging computational tasks and control messages between computing nodes at the upper level and lower level. Class 2 C2 can be implemented through a combination of the current CPRI interface protocols and the X2, Iur, and Iub functions.

The centralized computing node 145-1 / 145-2 and the core network 200 can be connected via a C3 class 3 interface. A C3 class 3 interface is configured to transmit data packets and status control messages. Class 3 C3 interface can be implemented through the functions of existing S1 and Iu interfaces.

In the embodiment shown in FIG. 2, the amount of communication processing to be processed by centralized computing layer 140 can be further reduced by intermediate computing layer 130, which reduces bandwidth requirements and improves system resource utilization.

The communication processing provided in an embodiment of the present invention relates to processing associated with communicating over a wireless network, and includes, but is not limited to, data processing, joint processing of interference control, joint processing of resource scheduling, joint processing of scheduling of computing tasks , joint processing or joint transmission of multi-standard signals of the main frequency band and upper level protocols and joint control of the operating mode or iem on-off switch.

The following describes the operations of each network element by reference to a three-level network architecture, which does not include an intermediate computing layer (145-1 through 125-1 and 115-1 shown in FIG. 2) or a 4-level network architecture, which includes an intermediate computing level (from 145-1 to 135, 125-2 and 115-2). However, this embodiment of the present invention can be similarly applied to a scenario in which several intermediate computing layers are involved, with each intermediate computing layer processing part of the entire communication processing of the cell served by the radio transceiver assembly connected (directly or indirectly) to each intermediate computing level .

3A-3B are a schematic diagram of a data processing procedure in accordance with an embodiment of the present invention. 3A is a schematic diagram of an example uplink data processing. 3B is a schematic diagram of an example of downlink data processing. Communication processing includes, in the case of data processing, dividing the received data by each computing node to isolate data that needs to be processed by the local computing node and data that needs to be processed by non-local computing nodes. Data that needs to be processed by non-local computing nodes may include data that has already been processed by a computing node of a previous level and / or data that needs to be processed by a computing node of a next level. The computing node (centralized computing node 145) at the upper level of the network architecture and the computing node at the lower level (local computing node 125) need to combine data that has undergone communication processing.

In particular, as shown in FIG. 3A, in the uplink, the local computing node 125 shares the data D sent from the radio transceiver nodes. In the embodiment shown in FIG. 3A, it is assumed that no BRU exists, that is, data D is baseband data and control messages that are not processed. The local computing node 125 splits the data D into D1 processed by the local computing node 125, D2 processed by the intermediate computing level 130 (it is assumed that the intermediate computing level exists), and D3 processed by the centralized computing level 140 (D = D1 + D2 + D3) . Then, the processing of data D1 in the main frequency band and / or at the L2 level, which must be performed by the local computing node 125, completes both the data packet P1 generated after D1 is processed and the data D2 + D3 that need to be processed at the intermediate computing level 130 and upper computing level 140 (i.e., centralized computing level 140) are transmitted to the intermediate computing node 125 at the intermediate computing level 130 connected to the local computing node 125 (or centralized computing node 145 at a centralized computing level 140 connected to local computing node 125 if there is no intermediate computing level). The local computing layer is the main functional unit for reducing the transmission bandwidth. On the other hand, if a BRU exists, the operations performed by the local computing node 125 may be similar to the following operations performed by the intermediate computing node 135.

The intermediate computing node 135 of the intermediate computing level 130 separates the data sent from the lower level node (local computing node 125 or the intermediate lower level computing node) in the uplink and allocates data D2 that needs to be processed at the intermediate computing level 130 and the data P1 and D3, which do not need processing at the intermediate computing level 130. The intermediate computing node 135 performs data processing D2 in the main frequency band and / or at the L2 level and transmits the processing result P2 (data packet) of the intermediate computing layer, the data D3 that needs to be processed by the upper layer computing layer, and the data P1, which are already generated by the computing node 125, to the upper intermediate computing node (if there is no intermediate upper computing node level) or centralized computing node 145 (if there is no intermediate upper level computing node).

The centralized computing layer 140 is a computing layer directly connected to the core network. In the uplink, the centralized computing nodes 145 of the centralized computing level 140 separate the data to be calculated and extract data D3 that needs to be processed by the centralized computing nodes 145 and data (e.g., data packets P1 and P2 generated after the lower level computing node will complete the processing of data) that do not need to be processed by the centralized computing nodes 145. Then, the centralized computing nodes 145 perform joint processing the loop and L2 data processing of the baseband D3 not completed by the lower layer combines the processing result P3 (data packet) and the data packets P1 and P2 generated after the lower layer completes the processing into a data packet P and transmit the data packet P to core network.

Similarly, in the downlink, centralized computing nodes 145 divide the data packet P sent from the core network into P3, which needs processing at the local computing level, P2, which needs processing at the intermediate computing level (if an intermediate computing level exists), and P1, which needs to be processed at centralized computing nodes 145, where P = P1 + P2 + P3. Processing in the main frequency band and at the L2 level is performed with a data packet P1 that needs to be processed, and the processing result D1 (main frequency band signal and control message) and data packets P2 and P3 that need processing at an intermediate computing level and local computing level, are transferred to the intermediate computing level (if the intermediate computing level exists) or the local computing level (if the intermediate computing level does not exist).

The intermediate computing node 135 separates the data sent from the upper-level node (centralized computing node 145 or the intermediate upper-level computing node) and extracts data P2 that needs to be processed at the intermediate computing level and data D1 and P3 that do not need to be processed at the intermediate computing level. The intermediate computing node 135 performs data processing P2 in the baseband and at the L2 level and transmits the processing result D2 (baseband signal and control message), data P3 that needs to be processed by the lower level computing node, and data D1 generated thereafter how centralized computing nodes 145 complete the processing, to an intermediate lower-level computing node (if an intermediate lower-level computing node exists) or a local computing node 125 (if not with intermediate computing node exists a lower layer).

The local computing node 125 separates the data sent from the upper level computing node and allocates a data packet P3 that needs to be processed by the local computing node 125 and the data (for example, the baseband signal and control messages D1 and D2 generated after the computing the top-level node is already completing processing) that do not need to be processed by the local computing node 125. Then, the local computing node 125 completes the processing of the data packet P3, which is not completed by the upper level, combines the processing result D3 (baseband signal and control message) and the baseband signal and control messages D1 and D2 sent from the upper level into the baseband signal and control message D and transmits D to the radio signal transceiver unit.

When a computing node shares data, the computing node can determine the data division coefficient according to factors such as the computing capabilities of the computing node, bandwidth between nodes, and data processing requirements (processing speed requirements, delay requirements, and processing volume requirements). In the embodiment shown in FIG. 3A, the local computing node 125 can directly separate data D1 that needs to be processed at the local computing level, data D2 that needs to be processed by the intermediate computing node 135, and data D3 that need to be processed centrally computing node 145, which are not limited in this embodiment of the present invention. Local computing node 125 may not allocate D2 and D3, but only separate data D1 that needs processing at the local computing level, and D2 + D3 that do not need processing at the local computing level. Then, the intermediate computing node 135 allocates D2 and D3 in accordance with current requirements. Similarly, in the embodiment shown in FIG. 3B, centralized computing nodes 145 may not allocate P2 and P3.

In the embodiments shown in FIGS. 3A and 3B, with the exception of the last level computing node, the computing nodes of the other levels do not combine the data, but transmit various data separately, for example, data generated after the local level performs processing, data, already processed by the previous level, and data that needs to be processed by the next level. Data is not limited in this embodiment of the present invention. When data is transmitted to a top-level computing node or a lower-level computing node, data can be combined before being transmitted.

Communication processing, which may be performed by the layered network architecture provided in this embodiment of the present invention, may include joint interference control processing. For example, for user equipment at an interface between cells, if joint processing can be performed between neighboring cells, the throughput of user equipment can be significantly increased. In this embodiment of the present invention, a multi-level adaptive method in joint interference control processing can be applied. The basic principle of joint interference management processing is that the interference is preferably processed by a higher level computing node shared by both interfering parties.

The following describes the joint interference control processing provided in this embodiment of the present invention with reference to the system architecture shown in FIG. 2. The local computing node 125 preferably performs communication processing of the user equipment without observable interference in the cell corresponding to the radio signal transceiving nodes 116-118 in a combination of 115 radio signal transceiving nodes connected to the local computing node 125, or processing user equipment interference that only experiences interference (e.g. interference from other nodes 116-118 of the radio transceiver or interference from a UE served by other nodes 116-118 of the radio transceiver) of the cell, corresponding to other radio signal transceiving nodes 116-118 in a combination of 115 radio signal transceiver nodes connected to the local computing node 125. For example, the local computing node 125-1 preferably performs user equipment communication processing without observable interference in a cell corresponding to a combination of 115-1 radio signal transmitting and receiving nodes , or interference processing of user equipment that only experiences interference from a cell corresponding to radio signal receiving units 116-118 in a combination of 115-1 nodes emoperedachi radio.

The intermediate computing node 135 preferably performs interference processing of the user equipment in the cell corresponding to the radio signal transceiving node in a combination of the radio signal transceiving nodes connected to the lower intermediate computing node or the local computing node connected to the intermediate computing node 135, where the user equipment is interfered with by the cell corresponding to a radio signal transceiver unit in a combination of a radio signal transceiver nodes, hydrochloric other intermediate computing nodes of the lower level or the local computing node connected to the intermediate computing node. For example, if the intermediate computing node 135 is connected to several local computing nodes, the intermediate computing node 135 preferably handles interference between several local computing nodes.

The centralized computing node 145 preferably performs interference processing of the user equipment in the cell corresponding to the radio signal transceiving node in a combination of the radio signal transceiving nodes connected to the lower intermediate computing node or the local computing node connected to the centralized computing node 145, where the user equipment is interfered with by the cell corresponding to the radio transceiver node in a combination of radio signal transceiver nodes, with union with other intermediate computing nodes of the lower level or the local computing node coupled to a centralized computing node. Taking the architecture shown in FIG. 2 as an example, if the user equipment A served by the radio transceiver assembly 116 connected to the local computing node 125-1 experiences interference from the radio transceiver 118 connected to the local computing node 125-2, the computing a top-level node (i.e., centralized computing node 145-1) shared by them performs interference processing.

Interference processing performed by a local computing node, an intermediate computing node, and a centralized computing node may include joint interference suppression, joint time-frequency resource coordination, joint power control, and coordinated multipoint transmission (Coordinated Multipoint Transmission, CoPM) between several base stations.

Thus, most user signals can undergo joint processing at the local computing node, which significantly reduces the amount of data transmitted to the upper-level computing node, thereby saving fiber resources and reducing the load on the upper-level computing node.

4 is a schematic representation of a typical example of the network architecture of a HetNet system in accordance with an embodiment of the present invention. As shown in FIG. 4, the HetNet network architecture includes a centralized computing node 245 and two local computing nodes 225a and 225b. In the HetNet network architecture, a local computing node is usually installed in a macro base station, for example, located at the same location as the RRU of the macro cell. The local computing node can also be installed in the zone formed by several neighboring macrobase stations, for example, it is connected to several RRU macrocells. The communication processing performed by the local computing node contains the steps in which: (1) the communication processing is divided into “computational task packages” of various loads, flexibly adjusting for users, uplink / downlink and macro / Pico, so that the system performs adaptive distribution processing loads between the centralized computing node and the local computing node in accordance with the actual need; (2) they perform the tasks of processing the signal of the main frequency band that are suitable for completion on the local computing node: all processing in the main frequency band of the user signals of the local Macro / Pico that does not interfere with other Macro / Pico; (3) pre-processing local Macro / Pico baseband signals (e.g., FFT (Fast Fourier Transform), Transform / Inverse Transform, and Pre-Coding) or signal compression processing; (4) implement a single processing and joint transmission of several systems of various standards through software-defined radio (Software-defined Radio, SDR).

In particular, in the example shown in FIG. 4, the local computing node 225a is connected to a combination of radio signal transceiving nodes formed by a macro cell RRU 215a, a Pico cell RRU 215b, and a Pico cell BRU 215c, where the local computing node 225a is located at the same location as the RRU 215a macro cells, and RRU 215b Pico cells and BRU 215c Pico cells are located within the coverage of MC1 RRU 215a macro cells.

The local computing node 225b is connected to a combination of radio signal transceiver blocks formed by the macro cell RRU 215d, the Pico cells RRU 215e, and the Pico cells BRU 215f, where the local computing node 225b is located at the same location as the macro cells RRU 215d, and the Pico cells RRU 215e and the Pico cells BRU 215f within the coverage of the MC2 RRU 215d macrocell.

Within the larger zone formed by several macrocells, the local computing node 225a / 225b in each macrocell is connected to the centralized computing node 245. Thus, the top-level cloud computing architecture is formed within the larger zone.

FIG. 4 illustrates only two macro cells MC1 and MC2, which are not limited in this embodiment of the present invention. A centralized computing node may be connected to several local computing nodes, and each local computing node may also be connected to a larger number of RRU macro cells. Each macro cell may not have a Rico Picocell or BRU Picocell, and the number of RRU / BRU Picocell may be increased or decreased according to actual need. All of these modifications should fall within the scope of the present invention.

In the following description, in the case where the allocation is unnecessary, the local computing nodes 225a and 225b are collectively referred to as the local computing node 225, and the macro cells RRU 215a, Pico cells RRU 215b, Pico cells RRU 215c, Pico cells RRU 215d, Pico cells BRU 215e, Pico cells together 215 radio transceiver.

For example, in FIG. 4, each radio signal transceiver node is first connected to the local computing nodes 225, and then connected to the top-level centralized computing node 245 via the local computing nodes 225, but there is no interface between the local computing nodes 225, and there is no connection between the radio signal transmitting nodes . Since standardization of the X2 interface does not take into account coordinated multipoint transmission (CoMP), the bandwidth and delay of the X2 interface cannot satisfy the requirements of coordinated multipoint transmission and joint processing. In this embodiment of the present invention, there is no logical interface between the base stations, and coordinated multipoint transmission and joint processing are performed by the upper layer computing node. In addition, the RNC is canceled in this embodiment of the present invention, and data processing and joint scheduling performed by the RNC in the UMTS system is performed on the upper level computing node.

In addition, since the HetNet network is a single RAN, processing on all computing nodes is done through software. Various virtual machines or various processes on a single operating system platform process various radio standards, implement G / U / L / WiFi (i.e. GSM / UMTS / LTE / WiFi) and support the joint transfer of several systems of various standards.

It should be noted that the HetNet architecture shown in FIG. 4 is merely exemplary and not limited in this embodiment of the present invention. The number of computing nodes, the location of the computing nodes and the number of levels of computing nodes can be changed in accordance with the actual need, or one or more levels of computing nodes can be added. In addition, the HetNet architecture shown in FIG. 4 can be used in combination with Picocell continuous coverage, that is, some local computing nodes 225 can be connected to multiple Picocell BRU / RRUs in continuous coverage within a smaller area. All of these modifications fall within the scope of the present invention.

In the HetNet scenario shown in FIG. 4, the interference experienced by the user equipment can be divided into the following types:

1) User equipment (UE) without observable interference:

UE without observed interference in the macro cell MC1 / MC2: Typically, this type of UE is located in the central zone of the local macro cell. Since this type of UE is far from neighboring macro cells, this type of UE experiences very little interference from neighboring macro cells. In addition, since this type of UE is far from hot zones using the same frequency range in the local macro cell, this type of UE experiences very little interference from the Pico cells.

UIC without observable interference in Picocell: Typically, this type of UE is centrally located in an isolated hot zone. Since this type of UE is located in an isolated hot zone, the UE experiences little interference from other Pico cells in the local macro cell. Since this type of UE is centrally located in the Picocell, the UE also experiences relatively small interference from macro cells.

For a UE without observable interference, the UE data is preferably processed at a local computing node connected to the UE if the tide effect is not taken into account. This is because even if joint processing is performed, the generated gain is not visible and the transmission loads of the baseband signal can obviously be increased. For the cloud RAN architecture provided in this embodiment of the present invention, communication processing of this type of user data is preferably performed on a local computing node.

For user equipment with observable interference, the following two cases are separated according to the source of interference: data is preferably processed on local computing node 225 and data is preferably processed on centralized computing node 245.

2) A user exposed to interference, preferably processed on a local computing node 225

For the case when the data is preferably processed on the local computing node 225:

Type 1: Microcell UE that only interferes with macro cells. This type of UE is located on the edge of the Picocell, but there are no other Picocells around this type of UE. Therefore, UE signals experience only interference from Picocell signals. Joint interference processing needs to be performed only between the Picocell and the macrocell. For example, if the UE served by the Picocell RRU 215b experiences only interference from the macrocell MC1, the interference of the UE is processed by the local computing node 225a.

Type 2: A macro cell UE located on the edge of a Pico cell whose source of interference comes from neighboring Pico cells. Joint interference processing needs to be performed only between a macro cell and a Pico cell generating large interference. For example, if the UE served by the macro cell RRU 215a experiences only interference from the Pico cell RRU 125b, the interference of the UE is processed by the local computing node 225a.

Type 3: If two Pico cells are very close, a user located on the border between the two Pico cells can always be interfered with by the other two cells, regardless of whether the user belongs to one or two Pico cells. There are three examples: the UE served by the macrocell MC1 is interfered with by two neighboring Pico cells (that is, the interference from the RRU 215b Pico cells and the BRU 215c Pico cells); The UE served by the Pico cell RRU 215b is interfered with by the macro cell RRU 215a and the Pico cell BRU 215c; The UE served by the Picocell BRU 215c is interfered with by the macro cell RRU 215a and the Pico cell RRU 215b. Joint interference processing needs to be performed only between a macro cell and two adjacent Pico cells. For example, in the above three examples, interference is processed by the local computing node 225a.

For users who are preferably subjected to joint interference processing at the local computing node, their data is preferably processed by the local computing node in the cloud-based RAN architecture associated with users if the tide effect is not taken into account. Since their sources of interference exist between the cells of the local computing node, joint processing can only be performed on the local computing node. In this case, even if the joint processing is performed on a centralized computing node, an additional performance gain may not be realized, while the transmission loads of the signal of the main frequency band can obviously be increased.

3) Data subject to the influence of user interference processed on a centralized computing node 245

For interference, which is preferably processed on a centralized computing node 245:

Type 4: UE served by a macrocell (e.g., one of MC1 and MC2) located at the edge of multiple macrocells (e.g., MC1 and MC2). When there are no Pico cells around the UE, the interference source of the UE mainly comes from neighboring macro base stations (MC2 or MC1). For users located in non-hot zones of macro cells, their signals are interfered with by neighboring macro cells. Since the local computing node is located in the local macro cell, the local computing node cannot perform joint interference processing on users in several macro cells around users. Therefore, this type of UE sends data to the centralized computing node 245. Since the centralized computing node 245 is responsible for macro cells and Pico cells within a larger area, it can perform joint interference processing on the signals of several different users of the macro cell. For example, if the UE served by MC1 experiences interference from the macro base station MC2, the centralized computing node 245 processes the interference.

Type 5: If the hot zone is located on the border between several macrocells, regardless of whether users belong to the edge of the Picocell or Picocell, the users experience interference from other cells. For example, a UE served by a Picocell RRU 215e is interfered with from macrobase stations of neighboring macrocells MC1 and MC2; The UE served by the macrocell MC1 is interfered with by macro base stations BRU 215c Pico cells and macro cells MC2; users of macrocell MC2 experience interference from macro base stations RRU 215e Pico cells and macro cell MC1. Since the lower-level computing node is located in the local macro cell, the architecture of the local cloud RAN cannot perform joint interference processing on users in several macro cells around users. Therefore, just like Type 4, this type of UE sends data to the centralized computing node 245 of the upper level. Since the architecture of the top-level cloud RAN is responsible for macro cells and Pico cells within a larger area, it can perform joint processing on the signals of various users of the macro cell and Pico cells.

For users who are preferably subjected to joint interference processing at a centralized computing node 245, their data is preferably processed at a higher level computing node in a cloud RAN architecture. Since their sources of interference are located between macro cells and Pico cells in several local cloud RAN architectures, joint processing is expected to be performed on centralized computing node 245 to improve system performance. Since there are only a few users on the border between several low-level cloud RAN architectures, the data transferred to the high-level cloud RAN architecture for joint processing is limited, which does not place too much strain on the transport network of the baseband signal.

To determine whether it is necessary to perform joint processing of the upper level, the network side may ask the UE to periodically measure the level of the reference signal and receive the delay of the nearby RRU / BRU. If the network side finds that several RRU / BRUs have a similar level and delay, it transfers user data to the top-level computing node shared by these RRU / BRUs. On the contrary, if the network side finds that there are relatively large differences between the level of the reference signal of neighboring RRU / BRUs measured by the UE processed by the upper level computing node, for example, when the level of only one or more RRU / BRUs is greater, the network side transmits a signal to the UE to the lower level computing nodes corresponding to these RRU / BRUs.

Taking LTE as an example, in the uplink, when a lower-level computing node (microcomputing node or local computing node) receives output data via a radio block, it performs FFT on the data and splits the data into resource blocks (RB, Resource Blocks) processed by the microcomputing node (if there is a BRU), a local computing node, and a centralized computing node. Computing nodes at each level process the corresponding data of the main frequency band and transparently transmit the data of the main frequency band processed by the upper level to the computing node of the upper level.

In the downlink, the centralized computing node divides the data packets from the core network into parts processed by the centralized computing node, the local computing node, and the microcomputing node (if there is a BRU). The data of the main frequency band and control messages processed at each level are combined on the lower level computing node (local computing node or micro computing node) and processed by the radio block into transmission signals.

For a CDMA (Code Division Multiple Access, Code Division Multiple Access) access method, data of various users is loaded into an orthogonal code sequence. A multi-level processing method may be similar to a method for differentiating users by time-frequency resource blocks and is not further described.

Communication processing performed by the communication system provided in this embodiment of the present invention may include joint resource scheduling processing. By scheduling resources between adjacent cells, a communication system reduces interference between cells and improves resource utilization and system performance. In the multi-tier cloud RAN architecture provided in this embodiment of the present invention, resource management is performed at different network levels in accordance with different user locations, and computing nodes at each level are responsible for resource planning in various cases. The principle of joint processing of resource planning is that a local computing node, an intermediate computing node, or a centralized computing node connected to radio signal transceiving nodes serving user equipment performs resource planning on the user equipment.

As shown in FIG. 2, the local computing node 125 performs resource scheduling between cells corresponding to the radio signal transceiving nodes 116-118 in a combination of 115 radio signal transceiving nodes connected (directly connected) to the local computing node 125. An intermediate computing node 135 performs resource scheduling between cells corresponding to the nodes 116-118 radio transceiver in a combination of 115 nodes transceiver radio signal connected (indirectly connected) with the intermediate subtraction a compression node 135. The centralized computing node 145 performs resource scheduling between cells corresponding to the radio signal transceiving nodes 116-118 in a combination of 115 radio signal transceiving nodes connected (directly or indirectly connected) to the centralized computing node 145.

In the HetNet heterogeneous network scenario shown in FIG. 4, the local computing node 225 performs local Macro-Pico joint resource scheduling. For central users in the macro cell and users in the Pico cell within the macro cell, interference with other macro cells is very small, so that fully localized resource planning and management can be performed and only local Macro-Pico joint resource planning needs to be performed. Since Macro-Pico joint resource planning can be used, the resources of the Pico cell information channel can be reused in a macro cell. For different Pico cells located far from each other, the interference between them is very small and the resources of the control and information channel can be planned independently. For example, local computing node 225a may perform Macro-Pico co-resource scheduling in coverage MC1, and local computing node 225b may perform Macro-Pico co-scheduling of resources in MC2.

Centralized computing node 245 performs global Macro-Pico collaborative resource planning. The UEs at the edge of the macrocell and the UEs at the Picocell at the edge of the macrocell have interference with other macrocells. Therefore, for such UEs, global resource planning is necessary. For example, as shown in FIG. 4, assuming that the Picocell RRU 215e is located at the boundary between the macrocell coverage MC1 and the MC2 coverage, resource allocation in the Picocell RRU 215e may be scheduled by a centralized computing node 245 to reduce inter-cell interference.

The following is based on the fact that inter-cell interference is reduced through joint frequency-domain resource planning. In lower-level cloud architecture, the on-premises compute node distributes resources at the boundary between the Pico cell in the macro cell and the macro cell. On the border between two neighboring Pico cells, the resources of the frequency domain are divided into f1, f2 and f3, which are used respectively at the edge of the UE of two Pico cells and macro cells at the border. The specific proportion of each frequency domain resource is determined by the number of users and data traffic at the edge of each cell.

In a top-level cloud architecture, a centralized computing node 245 distributes resources between multiple lower-level cloud architectures. For example, in the HetNet cloud computing architecture shown in FIG. 4, a centralized computing node 245 is responsible for allocating frequency domain resources located on an edge of a UE at a boundary between two macro cells MC1 and MC2 and a Pico cell (e.g., a cell covered by Pico cell RRU 215e) adjacent with the border between macrocells. For example, the resources of the frequency domain are divided into f1, f2 and f3, which are used respectively located on the edge of the UE of two macrocells and one Pico cell. The specific proportion of each frequency domain resource is determined by the number of users and data traffic at the edge of each cell.

Assuming that the macrocell and the Picocell use the same frequency domain resource in a heterogeneous network, the computing nodes of the upper level and lower level can schedule the same time-frequency resource. To avoid scheduling conflicts, the following two solutions can be used:

(1) The resources planned by the local computing node, the intermediate computing node, and the centralized computing node are configured differently. This is multi-level planning based on frequency division / time division / spatial division without changing the current standard data processing procedure.

In particular, the upper layer computing node performs joint scheduling on certain resources of the time / frequency / spatial regions on the UE, which are to undergo joint processing in the lower layer coverage. The lower-level computing node performs scheduling on other related and remaining resources of the upper / temporary / frequency / spatial regions of the upper level. That is, the lower-level computing node performs planning on the remaining (other) time / frequency / spatial resources of the upper level (planning). To ensure the throughput of the local UE, resources at the upper level for joint planning of the upper level should be limited within a certain range and dynamically adjusted in accordance with the actual distribution of the UE and the amount of data.

(2) The top-level computing node performs resource planning preferably. This planning is performed by the upper level and can optimize the bandwidth of the entire network.

Channel information of all user equipment, for example, the uplink sounding reference signal SRS (Sounding Reference Signal), CQI (Channel Quality Indicator, channel quality indicator) / PMI (Pre-Coding Matrix Indicator, precoding matrix indicator) / RI (Rank Indicator, indicator rank), is transmitted to the computing node at the upper level. Since the user data passes through the computing node at the upper level, the computing node at the upper level has current and previous information about the transmission rate of the user data when performing unified planning in order to guarantee equal planning. If the computing node at the upper level has powerful computing capabilities, it is permissible to combine the computing load of the user planning of the upper level.

In the traditional C-RAN architecture, since the BBU is far from the RRU, the BBU needs to be connected to the RRU via high-speed optical fibers, which requires high costs for transmitting baseband data.

In the architecture provided in this embodiment of the present invention, the local computing node is very close to the RRU of the local macro cell and the RRU / BRU of the Pico cell. For example, if a macro cell in which the distance between nodes is 500 meters as an example, the distance between the local computing node and the RRU of the remote Pico cell is about 200 meters. Thus, many other short-range connecting media and technologies can be used as connections between the various nodes provided in this embodiment of the present invention. For example, a connection between a radio transceiver node in a combination of radio signal transceiver nodes and a local computing node, a connection between a local computing node and an intermediate computing node, or a connection between intermediate computing nodes at the upper level and lower level is established via fiber optic, DSL (Digital Subscriber Line), line microwave connection or power electric cable. Therefore, the multilevel structure greatly simplifies the topology of the transport network of the baseband signal and effectively reduces the transmission cost. A connecting medium between nodes can be determined in accordance with factors such as the computational capabilities of a node, the distance between nodes, the requirements for transmission bandwidth between nodes and / or the requirements for transmission delay between nodes.

For example, technologies such as a DSL digital subscriber line (twisted pair or copper wire), a microwave line, and a power electric cable can realize a transmission speed close to one Gbit / s within 200 meters and can be used to replace optical fiber for local signals over short distances.

Optical fiber can be used to connect between the local computing node and the centralized computing node, because the number of such nodes is small and the distance between them is large.

According to the actual scenario, various physical media can be used in the transport networks of the baseband signal at each level of the cloud RAN according to the transmission distance and cost.

With respect to transmission bandwidth, the network architecture provided in this embodiment of the present invention can distribute computing loads in accordance with the adaptability of the transport network bandwidth of the baseband signal. When the available transmission bandwidth is larger, processing loads can be moved to the upper level computing node, which simplifies the configuration of the local computing node. When the available bandwidth is smaller, most processing loads can be distributed to the local computing node.

The communication processing performed by the communication system provided in this embodiment of the present invention may include joint scheduling processing of computing tasks. The network architecture provided in this embodiment of the present invention is capable of balancing computing loads within a larger area and efficiently utilizing computing resources.

A computational task is mutually transmitted in accordance with computational loads, computational capabilities, transmission bandwidth and transmission delays between a local computing node and an intermediate computing node connected to a local computing node, between intermediate computing nodes connected at the upper level and lower level, between the intermediate computing a node and a centralized computing node connected to an intermediate computing node, and between mutually connected GOVERNMENTAL centralized computing nodes.

Baseband data corresponding to an RRU in a local macro cell is preferably processed at a local computing node. If the computing load of the local computing node is too large due to the limited computing capabilities of the local computing node or the ebb and flow effect of the user equipment, the local computing node may transmit some signals to the upper level computing node (for example, an intermediate computing node or a centralized computing node) for processing. The top-level computing node is responsible for balancing the computing loads of the local computing node within a larger zone. When the computational load of the top-level computing node is too large, the upper-level computing node may transfer some of the computing tasks to the local computing node for processing.

Typically, for multi-level cloud RANs, since computing tasks are distributed across different computing nodes at more than two levels, scheduling of computing tasks can be performed on a top-level computing node in a centralized way or performed on computing nodes at each level in a distributed way.

If computing tasks are planned in a centralized manner, the top-level computing node plans to transfer computing tasks. For example, in the HetNet scenario shown in FIG. 4, each local computing node 225 may periodically report current computing loads to a centralized upper-level computing node 245. After the centralized computing node 245 collects information about each local computing node 225, it determines whether to transfer some computing tasks of some local computing nodes to the centralized computing node. Then, the centralized computing node 245 returns a scheduling command to each local computing node 225 to indicate whether some computing tasks need to be transmitted, and the computing load to be transmitted.

If computing tasks are planned in a distributed way, the computing node plans to transfer computing tasks in accordance with the requests of other computing nodes. In this case, the local computing node 225 has equal rights with the centralized computing node 245. When the computing resources of the local computing node 225 are not enough, the local computing node 225 sends a request to transfer computing tasks to the centralized computing node 245, the request including the transmitted computing load. After the centralized computing node 245 receives a request communicated by each local computing node 225, it gives feedback in accordance with the idle state of its computing resources in combination with requests from each subordinate local computing node 225 for a request sent from each local computing node 225 to transfer of computing resources. The feedback message includes information on whether computing tasks are allowed to be transmitted, and the computing load to be transmitted. In another respect, when the resources of the centralized computing node 245 are insufficient, the centralized computing node 245 sends a request for the transfer of computing tasks (for example, a transfer request for about a fifth of the communication processing) to the local lower-level computing node 225 by polling or randomly, or sends a request for the transfer of computational tasks to other centralized computing nodes, the two request messages including the computational load to be transmitted . The local computing node 225 or the centralized computing node 245 that receives the request returns, according to the idle state of its computing resources, the scheduling command to the centralized computing node 245 sending the request to indicate whether some computing tasks need to be transmitted, and the computing load that must be transferred.

If the communication system supports multiple standards, the combination of radio transceiver nodes may include radio transceiver nodes supporting multiple standards. In this case, the communication processing performed by each computing node in this embodiment of the present invention may include processing communication systems of various standards and / or joint processing of several communication systems of various standards.

The radio frequency part, up / down conversion, filtering and processing in the main frequency band of a traditional analog radio system uses the analog method. Each communication system with different frequency ranges and modulation methods has its own special hardware structure. However, the low frequency part of the digital radio system uses a digital circuit, but the radio frequency part and the intermediate frequency part still depend on the analog circuit. Compared to traditional A / D and D / A radio systems, software-defined radio converters are moved to an intermediate frequency and are located as close to the terminal radio cascade as possible and sample the entire system, which is a characteristic feature of software-defined radio. Digital radio uses a special digital circuit to implement a single communication function without programming. However, the software-defined radio uses a part of the DSP (Digital Signal Processing, Digital Signal Processing) with a powerful programming ability to replace a specific digital circuit, so that the hardware structure of the system is relatively independent of the function of the system. Thus, on the basis of a relatively universal hardware platform, a software-defined radio system implements various communication functions through software and performs software control of the operating frequency, system bandwidth, modulation method and source coding, thereby greatly improving the flexibility of the system.

In this embodiment of the present invention, because each computing node is formed by a high-performance CPU or an array of CPUs and DSPs, the same computing node can support RRUs of different standards for a baseband signal and upper layer protocol processing. This provides several advantages: Different standards are used in the same processing unit, which simplifies the network architecture and reduces the cost of building a network; the modernization of the system or base station is easily completed by updating the software of computing nodes, which contributes to the refarming (refarming) of existing spectral resources.

If the user equipment supports the simultaneous transmission of several systems of different standards, the local computing node unloads data for transmission to various systems in accordance with the actual situation (conditions of the radio link and network load) in various systems. In uplink transmission, a local computing node, or an intermediate computing node, or a centralized computing node, combines data in various systems. If the user equipment supports transferring in several ways, SDR-based and centralized processing certainly supports the joint transfer of several systems of different standards. These standards can be G / U / L / WiFi, and the joint transmission of several systems of different standards can be performed at different protocol levels, for example, PHY (physical layer), MAC (Media Access Control, Media Access Control) and RLC ( Radio Link Management, radio link management). In addition, the computing node can perform unified planning for the joint transfer of several systems of various standards.

In the multi-level HetNet architecture shown in FIG. 4, baseband signal processing of the local microbase station and macrobase station is performed on the local computing node 225 in a centralized manner. In this scenario, network configurations can be performed adaptively between the micro base station and the macro base station. Compared to traditional HetNet, HetNet provided in this embodiment has a more flexible RAN architecture.

The communication processing provided in this embodiment of the present invention includes joint control of the operation mode or on-off state of the Picocell RRU and / or Picocell BRU in a combination of radio signal transceiver nodes. For example, a Pico cell can be flexibly and adaptively configured in the following three forms: (1) an independent Pico cell with its own Cell ID (cell identifier) and all control / information channels; (2) Relay Station (RN, relay node) of the macro base station; for a common in-band transmission method, the RN is connected to the RAN via the donor eNodeB wirelessly, and the frequency range used is exactly the same as in the communication line between the RN and the terminal; (3) a distributed macrobase station antenna that sends / receives some or all of the macrobase station's radio signals using the SFN (Single Frequency Network, Single Frequency Network) method or other spatial coding methods (e.g. SFBC (Spatial Frequency Block Codes, space frequency block codes)) .

The number / mode of RRU or BRU The pico cell can be configured adaptively in accordance with various scenarios. For example, RRU or BRU Picocell can be adaptively configured for the above three operating modes.

For example, when traffic in a hot zone changes significantly over time, for example, the number of users is large in the daytime, while the number of users is small at night, the Picocell RRU or BRU can be turned on when the number of users is larger, while the Picocell RRU or BRU can be turned off when the number of users is less. Rico or BRU Pico cells can be turned on or off adaptively in accordance with the available bandwidth or load of transmission resources.

When the available transmission bandwidth between the local computing node 225 and the centralized computing node 245 is smaller, a Pico cell RRU or BRU can be added. Thus, more users are served by RRU or BRU of Picocells. Since the transmission power is reduced, interference from other macro base stations and interference to other macro base stations is significantly reduced compared to direct transmission between the UE and the macro base station. Therefore, there is no need to perform joint processing on the centralized computing node, which effectively reduces the transmission bandwidth requirements between the local computing node 225 and the centralized computing node 245.

The communication system presented in this embodiment of the present invention performs multilevel and localized processing on the computing resources of the BBU, so that the radio transceiver nodes within a small zone are controlled in a centralized manner on a local computing node, while the radio signal transceiver nodes within a larger zone are controlled in a computing top-level node in a centralized way. The radio signal transceiver node is directly connected to the local computing node and indirectly connected to the upper level computing nodes within a large area through the local computing node. In addition, some radio transceiver nodes are also connected to upper level computing nodes. In this embodiment of the present invention, computing resources and joint processing can be scheduled between the local computing node and the centralized computing node adaptively in accordance with user distribution, data volume and interference.

For a HetNet system, the local computing layer can be located in a partially smaller area, such as a macro cell, to reduce the bandwidth requirements of the transport network through partially local computing processing. In addition, several short-range transmission technologies can be used locally. In this case, various ratios of data to be processed by cloud computing can be selected in accordance with the bandwidth of the actual connecting medium. The centralized computing layer of the upper level is responsible for managing radio signal transceiver nodes and computing nodes within a larger zone, so that the effect of “ebb and flow” of users is solved by planning computing resources. Whether an intermediate computing layer is used as a transition from a local computing layer to a centralized computing layer is determined in accordance with the actual operation of the network.

Compared to the traditional C-RAN architecture, this embodiment of the present invention has the following advantage: The bandwidth for the connection between the base station and the cloud computing node is significantly saved. In future communication networks, the number of Pico cells is several times greater than the number of current macro cells; the frequency range is becoming wider; and the number of antennas rose sharply from four to several dozen or even more than a hundred. If the traditional cloud RAN architecture is still used, for fiber optic transmission, it is a big problem to connect all the main bandwidth data to a cloud computing center several kilometers away.

For example, in the downlink, suppose that in an LTE system, each macro base station corresponds to three sectors, with each sector having eight antennas; each macro cell has 10 base stations of Picocell and single antennas, each of which corresponds to a Picocell, respectively; that is, each macro cell has 10 Picocell base stations, where each Pico cell base station corresponds to a Pico cell, respectively; each base station corresponds to a 20 MHz spectrum with a sampling frequency of 30.74 MHz and 22 bits of each sampling point are quantized. The data transfer speed of the data connection of the downlink of the macro base station with the cloud computing center is calculated as follows: (3 × 8 + 10) × 30.74 MHz × 22 bit = 23 Gbit / s.

However, from the point of view of the benefits of joint signal processing, it can be found that all UEs do not need to be directly connected to a single cloud computing node and that only UEs at the edge of the cell have a visible benefit of joint processing. If most of the processing of the baseband data and even the processing of L2 data is performed locally in accordance with an embodiment of the present invention, the data rate necessary to connect to the cloud computing center is significantly reduced: The data rate is reduced by one third after the channel decoded; if 64 QAM is used, the data rate is reduced by 5/22 after the data is demodulated; if the cyclic prefix (CP, Cyclic Prefix) is deleted, the data rate also decreases; if L2 data processing can be performed locally, the frame header, CRC check, and control field can be saved. If 10% of the bandwidth can be saved by completing L2 processing, only 20% of the user data needs to be processed together. The LTE downlink data rate is 23 Gbit / s × 20% + 23 Gbit / s × 80% × 90% × 1/3 × 5/22 = 5.8 Gbit / s. In the uplink, the coefficient of bandwidth saved by performing local processing of the baseband data is close to what was saved in the downlink. As shown above, the communication system with the lower level, i.e. local computing level, brings many benefits of bandwidth savings.

Even if problems such as the balancing of computing resources and the ebb and flow effects introduced by the cloud RAN architecture are taken into account in the multi-level computing architecture provided in this embodiment of the present invention, computing tasks may also be scheduled at the upper and lower level computing nodes. that does not lose the benefits of traditional C-RAN architecture.

The second advantage lies in the following aspect: In the traditional C-RAN architecture, each macrobase station is required to be connected to a computer center via optical fibers. However, in the near future, when a large number of micro-base stations will be deployed, if all micro-base stations are uniformly connected to the computer center via optical fibers, the cost of laying the optical fiber will increase significantly. In this embodiment of the present invention, the data of the base station can be centralized locally within a certain range and then can be transmitted to the upper level computing center. Since the base station data is centrally localized, several short-range communication technologies can be used, such as microwave link, DSL, power cable, to reduce transmission costs in the main frequency band. For the traditional C-RAN architecture, if the baseband data rate cannot satisfy the requirements that all baseband data must be processed by cloud computing, the cloud computing architecture cannot be used. In this embodiment of the present invention, the user data that is most in need of processing through cloud computing can be selected according to the data bandwidth of the main frequency band, while other data is processed locally, so that the cloud architecture can be used in any circumstances .

5 is a schematic flowchart of a method for controlling a communication system in accordance with an embodiment of the present invention. The method shown in FIG. 5 is performed by the communication system shown in FIG. 1 or FIG. 2. The communication system includes a radio signal transceiver level, a local computing layer, and a centralized computing layer. The radio signal transceiver level includes one or more combinations of radio signal transceiver nodes, wherein the radio signal transceiver node in each combination of radio signal transceiver nodes includes at least one of the following: a macro cell radio block, a remote Pico cell radio block, and a Pico cell baseband and radio frequency block. The local computing layer includes one or more local computing nodes, and each local computing node is connected to the radio transceiver nodes in one or more combinations of neighboring radio transceiver nodes. The centralized computing layer includes one or more centralized computing nodes, wherein each centralized computing node is connected to one or more local computing nodes at a local computing level.

Step 501: The local computing node performs all of the communication processing or the first part of the communication processing of the cell corresponding to the radio transceiver node in a combination of radio signal transceiver nodes connected to the local computing node.

Step 502: The centralized computing node performs the second part of the cell communication processing corresponding to the radio transceiver node in a combination of radio signal transceiving nodes connected to one or more local computing nodes if the local computing node performs the first part of the communication processing, the entire communication processing including the first a communication processing part; and a second communication processing part.

In this embodiment of the present invention, a local computing layer is added between the centralized computing layer and the radio transceiver level and is responsible for all or part of the communication processing of neighboring cells within a certain range. Thus, all processing need not be performed by a centralized computing node that is far away, which saves network bandwidth and improves the use of system resources.

It should be noted that, although step 501 is performed before step 502 of FIG. 5, a specific flowchart is not limited in this embodiment of the present invention. In fact, step 501 and step 502 may be mutually independent, for example, step 501 may be performed after step 502, or step 501 and step 502 are performed simultaneously. All of these modifications fall within the scope of the present invention.

6 is a schematic flowchart of a method for controlling a communication system in accordance with another embodiment of the present invention. The communication system provided in the embodiment shown in FIG. 6 is shown in FIG. 2. In some parts of the communication system provided in this embodiment, one or more intermediate computing layers 130 may be added between the central computing layer 140 and the local computing layer 120 in accordance with the actual requirement to further reduce bandwidth requirements. Each intermediate computing layer 130 includes one or more intermediate computing nodes 135.

In addition to step 501 and step 502 shown in FIG. 5, the method shown in FIG. 6 includes:

Step 503: The intermediate computing node performs the third part of the cell communication processing corresponding to the radio transceiver node in a combination of radio signal transceiving nodes connected to a local computing node connected to the intermediate computing node if the local computing node performs the first communication processing part.

In addition, if the Picocell BRU also shares some processing tasks, the method shown in FIG. 6 further includes:

Step 504: The baseband and radio frequency unit of the Picocell BRU performs the fourth part of the cell communication processing corresponding to the baseband and radio frequency unit if the local computing unit performs the first part of the communication processing.

Or, when computing tasks are scheduled between centralized computing nodes 145-1 and 145-2, the method shown in FIG. 6 may further include:

Step 505: The centralized computing node passes through task scheduling the fifth part of the communication processing to the other centralized computing nodes for execution.

All communication processing further includes a fourth part of the communication processing and / or a fifth part of the communication processing.

The processes shown in FIG. 6 may be changed, deleted or replaced in accordance with actual need and all of these modifications are within the scope of the present invention.

The communication processing provided in this embodiment of the present invention may include one or more of the following: data processing, joint processing of interference management, joint processing of resource planning, joint processing of scheduling computing tasks, processing of several communication systems of various standards, joint processing of several communication systems of various standards and joint management of the operating mode or on-off state of the remote Picocell radio unit and / or a block of the main band of frequencies and radio frequencies of Picocells.

In this embodiment of the present invention, a local computing layer is added between the centralized computing layer and the radio transceiver level and is responsible for all or part of the communication processing of neighboring cells within a certain range. Thus, all processing need not be performed by a centralized computing node that is far away, which saves network bandwidth and improves the use of system resources.

Those skilled in the art may know that the blocks and steps of the algorithms provided in each embodiment disclosed herein may be implemented using electronic hardware, computer software, or a combination thereof. In order to clearly describe the interchangeability between hardware and software, the components and steps of each embodiment are already described in the above descriptions in accordance with functionalities. Whether these functions are performed through hardware or software depends on the specific applications and design constraints of the technical solutions. Specialists in the art can implement the described functions for each particular application by using various methods, but this implementation should not be construed as a departure from the scope of the present invention.

Those skilled in the art will understand that the specific work processes of the aforementioned method shown in FIG. 5 and FIG. 6 may relate to the corresponding processes provided in embodiments of the communication system. The materials of this application does not provide a second description.

In several embodiments of the present invention, it is understood that the system, device, and method of the present invention can be implemented using other methods. For example, the device described above is for illustration only. For example, block separation is based only on logical functions. In the actual implementation, other separation methods may be available, for example, several units or components may be combined or integrated with another system, or some distinguishing features may be ignored or may not be implemented. In addition, the shown or discussed interconnection or direct connection or communication connection is implemented using some interfaces. An indirect connection or a connection connection between devices or units may be implemented in electrical, mechanical or other forms.

Blocks that are described as separate parts may or may not be physically separate. Parts that are shown as blocks may or may not be physical blocks. That is, the parts can be located in one place or distributed across several network elements. Some or all of the blocks can be selected in accordance with the actual need to achieve the goal of the technical solutions provided in the embodiments of the present invention.

In addition, each functional block in embodiments of the present invention may be integrated into a processing unit or may exist independently, or two or more blocks are integrated in a block. An integrated unit may be implemented in the form of a hardware or software function block.

If the integrated unit is implemented in the form of a software function unit and is sold or used as a separate product, the integrated unit may be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solutions of the present invention or the contribution to the prior art or all or part of the technical solutions can be implemented as a software product. The computer program product is stored on a storage medium and includes several instructions that instruct a computer device (eg, a personal computer, server, or network device) to perform the methods provided in embodiments of the present invention. The above storage medium may be any medium that can store program codes, such as a USB disk, removable hard disk, read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or CD- ROM

The foregoing describes only exemplary embodiments of the present invention, but is not intended to limit the scope of the present invention. Any modification or equivalent replacement made by those skilled in the art without departing from the spirit and principle of the present invention should fall within the scope of the present invention. Therefore, the scope of the present invention is due to the attached claims.

Claims (21)

1. A communication system comprising:
a radio signal transceiver level comprising one or more combinations of radio signal transceiver nodes, wherein the radio signal transceiver node in each combination of radio signal transceiver nodes comprises at least one type of a macro cell radio block, a remote Pico cell radio block, and a Pico cell baseband and radio frequency block;
a local computing layer comprising one or more local computing nodes, wherein each local computing node is connected to radio signal transceiving nodes in one or more combinations of neighboring radio signal transceiver nodes and is configured to perform all communication processing or a first part of a cell communication processing corresponding to a combination of transceiver nodes a radio signal connected to a local computing node; and
a centralized computing layer comprising one or more centralized computing nodes, wherein each centralized computing node is connected to one or more local computing nodes at a local computing level and is configured to perform a second part of the cell communication processing corresponding to a combination of radio signal transceiver nodes connected to one or several local computing nodes, if the local computing node performs the first part of the processing communication chambers,
wherein all communication processing comprises a first communication processing part and a second communication processing part. 2. The communication system according to claim 1, in which each centralized computing node is connected to one or more local computing nodes at the local computing level, contains the following:
a centralized computing node is directly connected to one or more local computing nodes; or
a centralized computing node is connected to one or more local computing nodes through one or more intermediate computing nodes, wherein each intermediate computing node is configured to perform a third part of the cell communication processing corresponding to a radio signal transceiver node in a combination of radio signal transceiver nodes connected to the local computing node, connected to the intermediate computing node if the local computing node performs the first hour communication processing
wherein all communication processing comprises a third part of communication processing. 3. The communication system according to claim 1 or 2, in which:
the baseband and radio frequency unit of the Picocell is configured to perform a fourth part of the cell communication processing corresponding to the baseband and radio frequency unit of the Picocell if the local computing node performs the first communication processing portion; or
the centralized computing node is configured to transmit, by scheduling tasks, a fifth of the communication processing to other centralized computing nodes to perform,
wherein all communication processing comprises a fourth part of the communication processing and / or a fifth part of the communication processing. 4. The communication system according to claim 2, in which:
the connections between the macrocell radio unit and the local computing unit, between the remote Picocell radio unit and the local computing unit, between the macrocell radio unit and the centralized computing unit and between the remote Picocell radio unit and the centralized computing unit are implemented through a class 1 interface, and the class 1 interface is configured to transmit data to the main frequency bands and status control messages;
connections between the baseband and radio frequency unit of the Picocell and the local computing node, between the baseband and radio frequency unit of the Picocell and the centralized computing node, between the local computing node and the centralized computing node, between the local computing node and the intermediate computing node, between the intermediate computing nodes on upper and lower levels, between the intermediate computing node and the centralized computing node and between centralized GOVERNMENTAL computing nodes implemented via Class 2 interface, the Class 2 interface is adapted to transfer baseband data packets and status control messages; and
the centralized computing node and the core network are connected through a class 3 interface, the class 3 interface being configured to transmit data packets and status control messages. 5. The communication system according to claim 2, in which the communication processing comprises data processing;
the local computing node separates the data to isolate data that needs to be processed by the local computing node and data that does not need to be processed by the local computing nodes, and / or combines the data that has undergone communication processing;
an intermediate computing node separates data to isolate data that needs to be processed by the intermediate computing node and data that does not need to be processed by the intermediate computing node; and
the centralized computing node separates data to isolate data that needs to be processed by the centralized computing node and data that does not need to be processed by the centralized computing nodes, and / or combines data that has undergone communication processing. 6. The communication system according to claim 2, in which the communication processing comprises joint interference control processing;
the local computing node preferably performs communication processing of the user equipment without observable interference in the cell corresponding to the radio transceiver node in the combination of radio signal transceiving nodes connected to the local computing node, or processing the interference of user equipment that only experiences interference from other radio transceiver nodes in the combination of transceiver nodes a radio signal connected to a local computing node;
the intermediate computing node preferably performs interference processing of the user equipment in the cell corresponding to the radio signal transceiver node in a combination of the radio signal transceiver nodes connected to the lower level intermediate computing node or the local computing node connected to the intermediate computing node, where the user equipment experiences interference from the cell corresponding to the transceiving node of a radio signal in a combination of radio transceiver nodes connected with other intermediate computing nodes of the lower level or a local computing node connected to the intermediate computing node; and
the centralized computing node preferably performs interference processing of the user equipment in the cell corresponding to the radio signal transceiver node in a combination of the radio signal transceiver nodes connected to the intermediate lower level computing node or the local computing node connected to the centralized computing node, where the user equipment experiences interference from the cell corresponding to the transceiver node of a radio signal in a combination of nodes of a radio transceiver, ennoy other intermediate computing nodes of the lower level or the local computing node coupled to a centralized computing node. 7. The communication system according to claim 2, in which the communication processing includes joint processing of resource planning;
the local computing node performs resource scheduling between cells corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to the local computing node;
the intermediate computing node performs resource scheduling between cells corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to the intermediate computing node; and
the centralized computing node performs resource scheduling between cells corresponding to the radio transceiver node in a combination of radio signal transceiver nodes connected to the centralized computing node. 8. The communication system according to claim 7, in which:
resources scheduled by the local computing node, the intermediate computing node, and the centralized computing node are configured differently, or
The top-level computing node preferably performs resource scheduling. 9. The communication system according to claim 2, in which the connection between the radio transceiver node in a combination of radio signal transceiver nodes and the local computing node, between the local computing node and the intermediate computing node, or between intermediate computing nodes at the upper and lower levels is realized through an optical fiber, a digital subscriber line, microwave line or power cable. 10. The communication system according to claim 9, in which the connecting medium between the nodes is determined based on the computing capabilities of the node, the distance between the nodes, the requirements for the transmission bandwidth between the nodes and / or the requirements for the transmission delay between the nodes. 11. The communication system according to claim 2, in which the communication processing comprises joint planning of computational tasks; and
the computational task is mutually transmitted in accordance with the computational loads, computational capabilities, transmission bandwidth and transmission delays between the local computing node and the intermediate computing node connected to the local computing node, between the intermediate computing nodes connected at the upper and lower levels, between the intermediate computing node and a centralized computing node connected to the intermediate computing node, and between mutually connected Centralized computing nodes. 12. The communication system according to claim 11, in which:
a computing node plans to transfer a computing task based on requests from other computing nodes; or
the computing node at the upper level plans to transfer the computing task. 13. The communication system according to claim 2, in which the combination of radio signal transceiver nodes contains radio signal transceiver nodes supporting several standards, and the communication processing comprises processing several communication systems of different standards and / or joint processing of several communication systems of different standards. 14. The communication system according to any one of claims 1 to 2 and 4-13, in which the connection of each local computing node with one or more combinations of neighboring nodes of the radio transceiver contains:
determining, in accordance with the network configurations of the radio signal transceiver node in a combination of radio signal transceiver nodes connected to the local computing node, and the number of connected combinations of radio signal transceiver nodes. 15. The communication system according to claim 1, in which the local computing node is connected to the radio signal transceiving node in a combination of radio signal transceiving nodes, the combination of radio signal transceiving nodes comprises a macro cell radio unit located at the same location as the local computing node, a remote Pico cell radio unit the cover of the macroblock radio block and / or the baseband and radio frequency band of the Picocell. 16. The communication system according to claim 1, in which the local computing node is connected to the radio signal transceiver node in a combination of radio signal transceiver nodes, wherein the combination of radio signal transceiver nodes comprises a remote Pico cell and a base band and Pico cell radio frequency block in a predetermined zone, the predetermined zone being determined according to network configurations. 17. The communication system according to clause 16, in which the communication processing includes joint control of the operation mode or the on-off state of the remote Picocell radio unit and / or the Pico cell baseband and radio frequency unit in a combination of radio signal transceiver nodes. 18. A method for controlling a communication system, wherein the communication system comprises a radio signal transceiver level, a local computing level and a centralized computing level, wherein the radio signal transceiver level comprises one or more combinations of radio signal transceiver nodes, wherein the radio signal transceiver node in each combination of radio signal transceiver nodes contains at least one type of the following: a macro cell radio block, a Pico cell remote radio block, and a baseband and radio frequency unit P hiccups; the local computing layer contains one or more local computing nodes, with each local computing node connected to the radio transceiver nodes in one or more combinations of neighboring radio transceiver nodes; and the centralized computing layer comprises one or more centralized computing nodes, wherein each centralized computing node is connected to one or more local computing nodes at a local computing level; and
moreover, the method comprises the steps in which:
performing, by the local computing node, all communication processing or the first part of the communication processing of the cell corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to the local computing node; and
performing, by a centralized computing node, a second part of the cell communication processing corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to one or more local computing nodes, if the local computing node performs the first part of the communication processing,
wherein all communication processing comprises a first communication processing part and a second communication processing part. 19. The method of claim 18, wherein the centralized computing node is connected to the local computing node through one or more intermediate computing nodes; and
moreover, the method further comprises a step on which:
performing by the intermediate computing node the third part of the communication processing of the cell corresponding to the radio signal transceiving node in a combination of radio signal transceiving nodes connected to the local computing node connected to the intermediate computing node, if the local computing node performs the first communication processing part,
wherein all communication processing comprises a third part of communication processing. 20. The method according to p, optionally containing stages in which:
performing by the block of the base band of frequencies and radio frequencies of the Picocell the fourth part of the communication processing of the cell corresponding to the block of the main band of frequencies and radio frequencies of the Picocell if the local computing node performs the first part of the communication processing; or
transmit through the centralized computing node using task scheduling the fifth part of the communication processing to other centralized computing nodes to perform,
wherein all communication processing comprises a fourth part of the communication processing and / or a fifth part of the communication processing. 21. The method according to any one of claims 18 to 20, wherein the communication processing comprises one or more of the following: data processing, joint processing of interference management, joint processing of resource planning, joint processing of planning of computing tasks, processing of several communication systems of various standards, joint processing of several communication systems of various standards and joint management of the operation mode or on-off state of the remote Picocell radio unit and / or the main frequency band and radio unit Picocell frequencies.

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